Penggalian data: Perbedaan revisi

708 bita ditambahkan ,  2 bulan yang lalu
Rescuing 5 sources and tagging 0 as dead.) #IABot (v2.0.8
(Rescuing 1 sources and tagging 0 as dead.) #IABot (v2.0.8)
(Rescuing 5 sources and tagging 0 as dead.) #IABot (v2.0.8)
* [[Analisis trend dan evolusi]]: meliputi analisis regresi, penggalian pola sekuensial, analisis periodisitas, dan analisis berbasis kemiripan.
Berikut ini adalah 10 algoritme penggalian data yang paling populer berdasarkan konferensi ICDM '06, semua algoritme dinominasikan oleh para pemenang ACM KDD Innovation Award dan IEEE ICDM Research Contributions Award <ref>{{Cite web |url= |title=Salinan arsip |access-date=2010-07-08 |archive-date=2010-06-22 |archive-url= |dead-url=yes }}</ref>:
# [[C4.5]] (61 suara) <ref>Quinlan, J. R. C4.5: Programs for Machine Learning. Morgan Kaufmann., 1993.</ref>
* Pang-Ning Tan, Michael Steinbach and Vipin Kumar, Introduction to Data Mining (2005), ISBN 0-321-32136-7 ([ companion book site])
* Kurt Thearling, [ An Introduction to Data Mining] {{Webarchive|url= |date=2011-05-05 }} (also available is a [ corresponding online tutorial] {{Webarchive|url= |date=2011-05-18 }})
* Richard O. Duda, Peter E. Hart, David G. Stork, ''Pattern Classification'', Wiley Interscience, ISBN 0-471-05669-3, (see also [ Powerpoint slides] {{Webarchive|url= |date=2011-07-15 }})
* Phiroz Bhagat, ''Pattern Recognition in Industry'', Elsevier, ISBN 0-08-044538-1
* Ian Witten and Eibe Frank, ''Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations'' (2000), ISBN 1-55860-552-5, (see also [[Weka (machine learning)|Free Weka software]])
* Yike Guo and Robert Grossman, editors: High Performance Data Mining: Scaling Algorithms, Applications and Systems, Kluwer Academic Publishers, 1999.
* Dean W. Abbott, I. Philip Matkovsky, and John Elder IV, Ph.D. [ An Evaluation of High-end Data Mining Tools for Fraud Detection] {{Webarchive|url= |date=2007-01-05 }} published a comparative analysis of major high-end data mining software tools that was presented at the 1998 IEEE International Conference on Systems, Man, and Cybernetics, San Diego, CA, October 12-14, 1998.
* Mierswa, Ingo and Wurst, Michael and Klinkenberg, Ralf and Scholz, Martin and Euler, Timm: ''YALE: Rapid Prototyping for Complex Data Mining Tasks'', in Proceedings of the 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-06), 2006.
* Mark F. Hornick, Erik Marcade, Sunil Venkayala: "Java Data Mining: Strategy, Standard, And Practice: A Practical Guide for Architecture, Design, And Implementation" (Broché)
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* {{en}} [ Data Mining Program, University of Central Florida]
* {{en}} [ Andrew Moore of Carnegie Mellons tutorials] {{Webarchive|url= |date=2006-09-24 }}
* {{en}} [ A Master thesis dealing with the use of datamining in banking]